This paper reviews a methodology for the assessment of diagnostic accuracy by use of the area under the receiver operating characteristic (ROC) curve. Estimation and hypothesis testing of diagnostic accuracy based on a single sample from a single diagnostic test will be discussed with examples of computation. Sample size requirements for both estimation and hypothesis testing will be discussed as well. In addition, we present a SAS ® Program with a SAS ® Macro which calculates the sample size for the estimation of diagnostic accuracy of a single diagnostic test
The area under the receiver operating characteristic (ROC) curve is a popular measure of the power o...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
Evaluation of diagnostic performance is critical in many fields including but not limited to diagnos...
Receiving Operating Curve (ROC) analysis is a powerful and statistical accepted method to assess the...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
The receiver operating characteristic (ROC) curve is frequently used as a measure of accuracy of con...
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine a...
Clinical practice commonly demands ‘yes or no’ decisions; and for this reason a clinician frequently...
[[abstract]]Non-inferiority is a reasonable approach to assessing the diagnostic accuracy of a new d...
The area under the receiver operating characteristic (ROC) curve is often used to summarize and comp...
The proliferation of expensive technology in diagnostic medicine demands objective, meaningful asses...
The l imitations of diagnostic "accuracy " as a measure of decision performance require in...
Diagnostic tests are pivotal in modern medicine due to their applications in statistical decision-ma...
Following the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, design, development, val...
The area under the receiver operating characteristic (ROC) curve is a popular measure of the power o...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
Evaluation of diagnostic performance is critical in many fields including but not limited to diagnos...
Receiving Operating Curve (ROC) analysis is a powerful and statistical accepted method to assess the...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
The receiver operating characteristic (ROC) curve is frequently used as a measure of accuracy of con...
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine a...
Clinical practice commonly demands ‘yes or no’ decisions; and for this reason a clinician frequently...
[[abstract]]Non-inferiority is a reasonable approach to assessing the diagnostic accuracy of a new d...
The area under the receiver operating characteristic (ROC) curve is often used to summarize and comp...
The proliferation of expensive technology in diagnostic medicine demands objective, meaningful asses...
The l imitations of diagnostic "accuracy " as a measure of decision performance require in...
Diagnostic tests are pivotal in modern medicine due to their applications in statistical decision-ma...
Following the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, design, development, val...
The area under the receiver operating characteristic (ROC) curve is a popular measure of the power o...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...